During class time, we had the chance to visit Spark for an Ideation session and tour of the building with Amelia.
We were given the chance to take part in an ideation session on the spot to propose a product that Spark could produce in the future.
We proposed an IOT device assuming the world reached the ability that most of the world appliance and objects are connected.
If everything is connected then there is data, if there is data there is predictability. If we have so much data that is all around us waiting to be caught and analysed there will be patterns to be decerned again going back to predictability.
The example we used was between the fridge and the oven/stove top all being controlled by a phone to determine which objects should connect on a data level.
It will track the contents of the fridge, the cooking time of the food in the oven and on the stove.
The beauty of the thing we came up with is that it isn’t limited to a fridge and cooking options but how much water we use in the shower and we represent in milk bottles to show how much we are using which is an important visualisation when it comes to drought countries or what does your sleeping position say about when you are about to wake up.
It is personalised, not two people cook the same and not two people sleep the same way or use the shower the same way. There ware data here that is waiting to be mined and examined.
Personally I would extend this project using AI particularly IBM Watson because I know more about it, and the fact that we can use AI specifically for pattern recognition.
These data will be relevant to us on an individual level.